Change dataset name to psycholinguistic_eval

Ettinger.py → psycholinguistic_eval.py

@@ -19,7 +19,6 @@ import datasets
 import pandas as pd
 
 
-# TODO: Add BibTeX citation
 # Find for instance the citation on arxiv or on the dataset repo/website
 _CITATION = """\
 @article{ettinger2020bert,
@@ -33,16 +32,14 @@ _CITATION = """\
 }
 """
 
-# TODO: Add description of the dataset here
 # You can copy an official description
 _DESCRIPTION = """\
-This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
+Psycholinguistic dataset from 'What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models'
+by Allyson Ettinger
 """
 
-# TODO: Add a link to an official homepage for the dataset here
-_HOMEPAGE = ""
+_HOMEPAGE = "https://github.com/aetting/lm-diagnostics"
 
-# TODO: Add the licence for the dataset here if you can find it
 _LICENSE = """MIT License
 
 Copyright (c) 2020 Allyson Ettinger
@@ -66,10 +63,9 @@ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 SOFTWARE.
 """
 
-# TODO: Add link to the official dataset URLs here
 # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-_URL = "https://huggingface.co/datasets/KevinZ/Ettinger/resolve/main/"
+_URL = "https://huggingface.co/datasets/KevinZ/psycholinguistic_eval/resolve/main/"
 _URLS = {
     "CPRAG": _URL + "CPRAG/test.csv",
     "ROLE": _URL + "ROLE/test.csv",
@@ -78,7 +74,7 @@ _URLS = {
 }
 
 # TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
-class NewDataset(datasets.GeneratorBasedBuilder):
+class PsycholinguisticEvalDataset(datasets.GeneratorBasedBuilder):
     """TODO: Short description of my dataset."""
 
     VERSION = datasets.Version("1.0.0")
@@ -95,8 +91,8 @@ class NewDataset(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'first_domain')
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="CPRAG", version=VERSION, description="[CPRAG description]"),
-        datasets.BuilderConfig(name="ROLE", version=VERSION, description="[ROLE description]"),
+        datasets.BuilderConfig(name="CPRAG", version=VERSION, description="34 questions evaluating commonsense knowledge"),
+        datasets.BuilderConfig(name="ROLE", version=VERSION, description="88 questions evaluating event knowledge and semantic roles"),
         datasets.BuilderConfig(name="NEG-NAT", version=VERSION, description="[NEG-NAT description]"),
         datasets.BuilderConfig(name="NEG-SIMP", version=VERSION, description="[NEG-SIMP description]"),
     ]
@@ -213,4 +209,3 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 }
             else:
                 raise NotImplementedError
-